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Senior AI Engineer

Job

Recutify Inc.

San Jose, CA (In Person)

$117,989 Salary, Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/28/2026

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Job Description

Senior AI Engineer Recutify Inc. San Jose, CA Job Details Full-time $90,000 - $130,000 a year 18 hours ago Qualifications Containerization systems Elasticsearch Continuous Delivery (CD) implementation Spark Scalable systems Microservices Data Architecture Design (Architecture design skills) Production systems Redis Implementing APIs Developing data pipelines Scalability Developing and maintaining backend systems In-memory caching Cloud Architecture Design (Architecture design skills) Cloud automation DynamoDB Distributed computing DevOps automation Graph databases
Python Full Job Description Title:
Senior AI Engineer Location:
Irvine, CA (Onsite)
Duration:
Full Time Client:
Financial Domain Video Interviews Job Description Must have Technical skills: 5+ years of experience in software engineering, data engineering, or AI/ML engineering Strong proficiency in Python for AI/data workflows and automation Hands-on experience building solutions in AWS cloud environments Experience with: Databricks (or similar) and Apache Spark for distributed data processing OpenSearch / Elasticsearch (including vector search) Graph databases (Neptune or similar) DynamoDB and Redis/ElastiCache Experience building backend services and APIs (e.g., Java/Spring Boot, Node.js) Production experience with Docker and Kubernetes Experience with CI/CD pipelines and deployment automation Strong understanding of distributed systems, data architecture, and scalable design Preferred Qualifications Experience with LLM/GenAI architectures (RAG, embeddings, prompt engineering) Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks Experience with LangChain or LlamaIndex Experience implementing LLM evaluation and observability frameworks Familiarity with AI security practices and threat models (prompt injection, guardrails) Experience working in regulated environments with strong data governance and compliance requirements
Tech Stack AWS:
Neptune, OpenSearch, DynamoDB, ElastiCache (Redis),
IAM, CloudWatch Data:
Databricks, Apache Spark AI:
LLM integrations, embeddings, vector search, RAG pipelines
Agentic/LLM Tooling:
LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI Backend:
APIs, microservices (e.g., Spring Boot, Node.js)
DevOps:
Docker, Kubernetes, CI/CD, Infrastructure as Code